Result for 751156C7D400B5A26BF1389B5EAC8208D9CB7A14

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/tables/_comp_bzip2.s390x-linux-gnu_d.so
FileSize27104
MD546DA7129D67640409B6AE49F3CF16C87
SHA-1751156C7D400B5A26BF1389B5EAC8208D9CB7A14
SHA-2565FD3FFDF371CDEA1C89EA1321A2B0ED1D1BAAB8E4691E1757ADF351A1FCF2AF7
SSDEEP384:FBSlHUqqMm91r5qh8G8I+MpoTmC5fysthvlg0od5mExaAxTT6nKu4bs4:FBgYR8h89IVpoTn5fyohvMmw/62s4
TLSHT10CC2B6869A2083E1E9FC7B3B85CF827063BB247573DA592CAB9CC7911C62F548B5131D
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize463836
MD5254C3E4D0A984C1B84E02B395810D8CF
PackageDescriptionhierarchical database for Python based on HDF5 (debug extension) PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy, Numeric and numarray objects. . This package contains the extension built for the Python 2 debug interpreter.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython-tables-dbg
PackageSectiondebug
PackageVersion3.3.0-5
SHA-1227532B16AC3EA5D1FC26712DC48583C936FAF47
SHA-25606453DC74ADBBE4039B5EACE2E92B1A825A74651D176CF9C1603AEC2DA81D0DE